盟军
发表于 2025-3-26 22:06:38
https://doi.org/10.1007/978-3-319-49806-5botnet; cloud security; denial-of-service; internet of things; social network analysis; access control; au
充气球
发表于 2025-3-27 05:03:04
Indrajit Ray,Manoj Singh Gaur,V. KamakotiIncludes supplementary material:
gene-therapy
发表于 2025-3-27 06:08:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/465542.jpg
squander
发表于 2025-3-27 13:21:15
978-3-319-49805-8Springer International Publishing AG 2016
增长
发表于 2025-3-27 14:42:15
Information Systems Security978-3-319-49806-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
束缚
发表于 2025-3-27 19:50:40
Practical DoS Attacks on Embedded Networks in Commercial Vehicles physical communication and that are modeled in a manner similar to that of the ISO/OSI 7 layer protocol stack. We posit that the J1939 standards can be subjected to attacks similar to those that have been launched successfully on the OSI layer protocols. Towards this end, we demonstrate how such at
案发地点
发表于 2025-3-27 23:01:05
Secure Lightweight User Authentication and Key Agreement Scheme for Wireless Sensor Networks Tailoreernet of Things (IoT). The lightweight property of our proposed scheme can be useful in resource-constrained architecture of WSNs. In addition, our scheme has merit to change dynamically the user’s password locally without the help of the base station or gateway node. Furthermore, our scheme support
acrophobia
发表于 2025-3-28 03:50:50
http://reply.papertrans.cn/47/4656/465542/465542_38.png
过份艳丽
发表于 2025-3-28 08:29:32
Building a Fair System Using Access Rightsthe concept of secure system which is defined as a system that meets the requirements of access control, we propose to introduce the concept of a fair system that meets the requirements of the access right. We formalize this notion and give a characteristic which enables to prove if a system specifi
得意牛
发表于 2025-3-28 10:36:14
Data Loss Prevention Based on Text Classification in Controlled Environmentsin the same environment. Our evaluation results show that this approach, using techniques from machine learning and information retrieval, provides improved detection of incorrectly classified documents that have been subject to more complex data transformations.